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        <identifier>oai:drops-oai.dagstuhl.de:6364</identifier>
        <datestamp>2024-03-06T10:38:04Z</datestamp>
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          <dc:title>Compact and Fast Sensitivity Oracles for Single-Source Distances</dc:title>
          <dc:creator>Bilo, Davide</dc:creator>
          <dc:creator>Guala, Luciano</dc:creator>
          <dc:creator>Leucci, Stefano</dc:creator>
          <dc:creator>Proietti, Guido</dc:creator>
          <dc:subject>fault-tolerant shortest-path tree</dc:subject>
          <dc:subject>approximate distance</dc:subject>
          <dc:subject>distance sensitivity oracle</dc:subject>
          <dc:description>Let s denote a distinguished source vertex of a non-negatively real weighted and undirected graph G with n vertices and m edges. In this paper we present two efficient single-source approximate-distance sensitivity oracles, namely compact data structures which are able to quickly report an approximate (by a multiplicative stretch factor) distance from s to any node of G following the failure of any edge in G. More precisely, we first present a sensitivity oracle of size O(n) which is able to report 2-approximate distances from the source in O(1) time. Then, we further develop our construction by building, for any 0&lt;epsilon&lt;1, another sensitivity oracle having size O(n*1/epsilon*log(1/epsilon)), and is able to report a (1+epsilon)-approximate distance from s to any vertex of G in O(log(n)*1/epsilon*log(1/epsilon)) time. Thus, this latter oracle is essentially optimal as far as size and stretch are concerned, and it only asks for a logarithmic query time. Finally, our results are complemented with a space lower bound for the related class of single-source additively-stretched sensitivity oracles, which is helpful to realize the hardness of designing compact oracles of this type.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Davide Bilo and Luciano Guala and Stefano Leucci and Guido Proietti</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 57, 24th Annual European Symposium on Algorithms (ESA 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2016.13</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-63640</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2016.13</dc:identifier>
          <dc:language>eng</dc:language>
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